Alpaca Cheese

Alpaca Cheese — CS2 Stats

76561198070397904[U:1:110132176]Steam profile ↗

3,289Tracked matches52%Win rate2020Tracked since
3,292Hours in CS
CSDB Rating4.9 Developing
Premier CS Rating19,123Purple band · top ~12% of ranked players (population est.)
CSDB Leaderboard#6636 of 13172 tracked
FaceitLevel 6 · 1,208 ELOTop 54.0% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

Share this profile

CSDB.GGAlpaca CheeseFACEITLevel 6 · 1,208 ELOSTANDINGTop 54.0% of rankedPREMIER19,123 · Purple bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim58
Positioning44
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY51463Last 10051%Win rateWLLWWLLTWL

Last 10 vs previous 10: -10pp win rate · +0.00 avg rating

Player DNA

Aim5.8
Aggression4.5
Utility4.5
Positioning4.4
Opening Duels1.5
Clutch2.8

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 84% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower utility contribution; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

Reaction time. 636ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim5.8
Positioning4.4
Utility4.5
Mechanics5.9
Opening Duels1.5
Win Impact5.6

Composite 4.9/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time636ms+3ms
first ⅓ avg 633ms → last ⅓ avg 636ms
Headshot accuracy13.6%−2.4%
first ⅓ avg 16.0% → last ⅓ avg 13.6%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.14Best rating — nuke 13–2
131Biggest win — mirage
5Longest win streak
97In matches decided by ≤2 rounds
10Overtime games

Map breakdown

anubisBest map · 63% over 8ancientWeakest map · 45% over 11
MapGradePlayedRecordWin rateAvg rating
dust2B23121152%0.01
mirageB21101148%-0.01
nukeB178947%0.00
infernoB157847%0.01
ancientB115645%-0.02
anubisA85363%0.01
cache43175%0.00
vertigo110100%0.08

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (45% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

124,537Lifetime kills
0.99K/D
9,314Matches
44.8%Match win rate
34.5%Headshot %
10.6%Shot accuracy
13,094MVPs
3,292Hours (in match)
11,543Bombs planted
2,076Bombs defused

Most-used weapons

AK-4732,581
AWP22,364
SG 5533,888
FAMAS3,409
AUG2,729

Lifetime map wins

16,887dust2
11,098inferno
6,330nuke
4,146vertigo
2,102train
909office
166italy
50cbble

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

1,384Matches
50%Win rate
1.05Avg K/D
70.6ADR
33%Headshot %

Clutches & streaks

34%1v1 clutch win
25%1v2 clutch win
13Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Dust24957%1.1015.2
Mirage4947%1.0013.8
Ancient4045%0.9313.2
Inferno2969%1.1313.7
Anubis2839%0.8412.3
Nuke1958%1.0015.8
Vertigo1346%1.0713.0
Cache30%0.9915.3

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

12.9%Headshot accuracy
37.5%Accuracy (enemy spotted)
36.2%Spray accuracy
76.3%Counter-strafing
10.4°Preaim
636msReaction time
30.0%T opening success
42.1%CT opening success
0.51Enemies flashed / flash
2.5%Flash assists
7.40HE damage / grenade
10.17Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 12.9172% — below the 15% mark we flag

    Aim Training
  2. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 29.9628% — below the 40% mark we flag

Spend your practice time on Ancient

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

45% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis13–30.049%28 Aug
mirage7–13-0.0510%27 Aug
mirage21–25-0.077%23 Aug
mirage13–11-0.009%23 Aug
anubis13–60.0313%23 Aug
anubis10–13-0.0015%21 Aug
ancient8–13-0.0212%21 Aug
ancient15–15-0.0311%13 Aug
nuke13–20.1418%13 Aug
nuke6–130.0213%12 Aug
mirage9–13-0.0610%12 Aug
mirage8–13-0.0310%12 Aug
inferno13–20.1221%11 Aug
ancient2–13-0.0611%11 Aug
ancient11–13-0.069%8 Aug
mirage13–60.0321%8 Aug
dust29–13-0.0214%8 Aug
dust213–90.0117%7 Aug
nuke25–210.0414%7 Aug
nuke13–40.0514%7 Aug
vertigo13–20.0812%6 Aug
anubis9–13-0.027%6 Aug
dust213–60.079%6 Aug
nuke13–16-0.0114%4 Aug
dust210–13-0.0914%4 Aug
ancient13–2-0.0113%3 Aug
dust213–80.0211%1 Aug
anubis13–90.0715%1 Aug
nuke5–13-0.034%1 Aug
dust216–140.0332%1 Aug
inferno13–60.0317%1 Aug
ancient2–13-0.0323%1 Aug
cache13–80.0322%1 Aug
anubis13–10-0.0015%31 Jul
ancient13–50.0616%31 Jul
nuke13–10-0.0115%31 Jul
nuke7–13-0.017%31 Jul
mirage13–10.0611%31 Jul
dust27–130.0520%31 Jul
nuke11–13-0.0711%31 Jul
nuke13–30.0313%30 Jul
dust213–7-0.0319%30 Jul
nuke13–60.0124%30 Jul
dust24–13-0.0230%29 Jul
dust27–13-0.0213%28 Jul
anubis13–6-0.0419%27 Jul
cache9–13-0.0615%25 Jul
inferno11–130.0327%25 Jul
inferno13–70.0121%25 Jul
dust28–13-0.066%25 Jul
ancient13–50.0517%25 Jul
mirage13–110.0625%23 Jul
inferno10–13-0.0520%23 Jul
nuke13–10-0.0217%23 Jul
dust213–80.0315%23 Jul
cache13–6-0.0113%23 Jul
mirage4–13-0.0417%23 Jul
nuke7–13-0.0619%22 Jul
anubis9–13-0.0118%21 Jul
dust26–13-0.0210%18 Jul
inferno8–130.0825%18 Jul
dust213–110.0518%18 Jul
mirage12–16-0.0316%18 Jul
dust25–130.0015%18 Jul
mirage5–13-0.0313%17 Jul
dust26–13-0.0423%17 Jul
dust213–110.0519%17 Jul
inferno7–130.0314%17 Jul
ancient16–12-0.0519%17 Jul
mirage13–100.0221%15 Jul
inferno13–30.0815%14 Jul
mirage13–70.009%14 Jul
inferno16–13-0.0317%14 Jul
inferno11–13-0.0315%13 Jul
ancient15–15-0.049%13 Jul
mirage6–13-0.0817%12 Jul
inferno0–13-0.0914%11 Jul
inferno13–80.0118%11 Jul
mirage7–13-0.0218%11 Jul
nuke15–150.0013%11 Jul
inferno8–130.0113%11 Jul
dust213–80.0217%10 Jul
dust24–13-0.0619%10 Jul
inferno13–80.0312%10 Jul
nuke13–90.0311%10 Jul
mirage13–11-0.0021%10 Jul
dust211–130.0225%10 Jul
dust213–70.0810%10 Jul
ancient13–110.0010%10 Jul
mirage13–80.0522%10 Jul
mirage8–13-0.047%10 Jul
cache13–90.0314%10 Jul
nuke11–13-0.0412%9 Jul
mirage13–40.0124%9 Jul
dust213–110.0211%9 Jul
nuke9–130.008%9 Jul
mirage13–11-0.0424%9 Jul
dust213–80.0424%9 Jul
inferno11–13-0.0219%9 Jul
mirage6–13-0.0223%9 Jul

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →